Senior Forecasting Business Analyst

About the role

The Senior Forecasting Analyst for Trust Review Operations (TRO) supports budget planning, forecasting, and analysis processes to drive Trust Operation's financial performance and strategic decisions.

Responsibilities

• Analyze large datasets to identify trends, patterns, and insights to drive adjustments to models, develop reporting, identify opportunities, and provide recommendations to enable decision making.
• Use statistical techniques to develop, implement, and maintain predictive models to forecast operational and financial performance.
• Monitor model performance and drive continuous improvement to models based on changes in trends, products, business decisions, and feedback.
• Prepare detailed operational & budget analysis, variance analysis, and reporting for leadership on weekly, monthly, quarterly, and annual basis.
• Collaborate with cross-functional teams to define business problems and change impact to develop data-driven solutions, managing within weekly capacity plans and budget constraints.
• Present findings and insights to stakeholders in a clear and actionable manner.
• Support ad-hoc analysis and special projects as needed.
• Stay current with industry trends and advancements in analytics, statistics, and predictive modeling.

Qualifications

• Bachelor’s in Statistics, Data Science, Computer Science, Mathematics, Economics, or related technical field or equivalent practical experience
• Experience in predictive analytics, data analysis, and statistical modeling
• Experience in programming languages such as Python, R, or SQL
• Experience with data visualization tools (e.g., Tableau, Power BI)

Preferred Qualifications

• MBA or Masters in Statistics, Data Science, Computer Science, Mathematics, or Economics
• Certification in data science or mathematical fields
• Experience with Workforce Management systems (e.g., NICE)
• Familiarity with ETL process and data warehousing techniques
• Strong attention to detail and accuracy
• Excellent communication skills, with the ability to communicate complex analytical information clearly and effectively
• Strong organizational and time management skills
• Ability to work independently and as part of a team in a fast-paced environment
• Excellent problem-solving, critical thinking, and analytical abilities
• Familiarity with big data technologies (e.g., Hadoop, Spark) and data analytics tools